Stars
Examples and guides for using the Gemini API
InstructLab Core package. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
Generative Models by Stability AI
Open source code for AlphaFold 2.
Shows how the CFT modules can be composed to build a secure cloud foundation
Virtual whiteboard for sketching hand-drawn like diagrams
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Pao-MIT / handson-ml
Forked from ageron/handson-mlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Pao-MIT / swirl_courses
Forked from swirldev/swirl_courses🎓 A collection of interactive courses for the swirl R package.
Pao-MIT / tidyverse
Forked from tidyverse/tidyverseEasily install and load packages from the tidyverse
Pao-MIT / data-analysis-for-social-scientists-mitx
Forked from dnackat/data-analysis-for-social-scientists-mitxR scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
Easily install and load packages from the tidyverse
🎓 A collection of interactive courses for the swirl R package.
R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng on Coursera.
Pao-MIT / MIT_6001
Forked from cosmopod/MIT_6001Lecture exercises and problem sets in MITx: 6.00.1x Introduction to Computer Science and Programming
Pao-MIT / MITx-6.419-DataAnalyisApplications
Forked from Tieumsan/MITx-6.419-DataAnalysisApplicationsPractical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statistics and Data Science on EdX
Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science